Data Warehouse Setup

FROM SPREADSHEETS
TO DATA WAREHOUSE
IN 4 WEEKS

Stop drowning in Excel and scattered data sources. Build your first cloud data warehouse with automated pipelines and clean data models. For SMBs ready to scale analytics.

3-5
Data Sources
4 wks
Typical Delivery
100%
Automated Pipelines
10+ YEARS WORKING WITH DATA
3 CLOUDS GCP • AWS • AZURE
END-TO-END PIPELINES

WHY DATA WAREHOUSE?

Because Excel doesn't scale with your business. Your data shouldn't block decisions.

Single Source of Truth

Stop chasing data across Postgres, Stripe, Google Sheets, and CRMs. One warehouse. All your data. Always up-to-date.

Real Analytics Capability

Complex queries in seconds, not hours. Historical analysis. Trend detection. Stop exporting to Excel for every analysis.

Don't Kill Production

Analytics queries slow down your app? Warehouse separates analytics from production. Run heavy queries without impacting users.

Automated Pipelines

No more manual exports. Data flows automatically from sources to warehouse. Fresh data every hour/day. Set it and forget it.

PROVEN APPROACH

Real project. Real results. This is how it works in practice.

BEFORE

The Challenge

  • 5 data sources scattered
  • Analytics in production DB
  • Manual exports to Excel
  • Queries slowing down app
  • No historical data
APPROACH

The Solution

  • 4-week warehouse setup
  • BigQuery + dbt + Airbyte
  • 5 automated pipelines
  • Star schema data model
  • Looker dashboards
AFTER

The Results

  • 60% faster queries
  • Zero production impact
  • Self-service analytics
  • 3 years historical data
  • Daily automated updates

HOW IT WORKS?

01

Discovery & Requirements

Critical phase: Deep dive into your data landscape with key stakeholders. Identify data sources, understand business questions, audit data quality. Define success metrics and align expectations. This foundation determines everything that follows.

Week 1 (Days 1-7)
02

Architecture & Initial Setup

Platform selection (BigQuery/Snowflake/Redshift) and cloud infrastructure setup. Initial data model design with your team's feedback. First proof-of-concept pipeline to validate approach before scaling.

Week 2 (Days 8-14)
03

Pipeline Development & Testing

Iterative delivery: Build ETL/ELT pipelines incrementally, one data source at a time. Continuous collaboration with business stakeholders to validate data transformations. Regular check-ins ensure we're solving the right problems.

Week 3 (Days 15-21)
04

Refinement & Handoff

Final iterations based on stakeholder feedback. Data quality monitoring setup. Team training (SQL, data models, dashboards). Documentation handoff. 4 weeks of post-launch support included.

Week 4+ (Days 22-28+)

TRANSPARENT PRICING

I know budget matters. Start with an audit - see what's possible before committing.

Data Audit

€600

See what's possible before building anything

Data sources inventory (3-5 days)
Data quality assessment
Warehouse architecture proposal
Cost estimate (setup + monthly run)
Deliverable: PDF report + data model sketch
45-min handoff call
Order Audit

Enterprise Warehouse

€5,000+

Complete data platform with advanced features

Everything from Starter Warehouse
10+ data sources connected
Advanced data models (star/snowflake schema)
Data quality monitoring & alerts
Cost optimization strategies
BI dashboards setup (optional)
6-8 weeks delivery + 2 months support
Request Quote

WHY WORK WITH ME?

10+ years working with data - analytics, ML, and production pipelines

Multi-cloud expertise - work with your infrastructure (GCP/AWS/Azure)

Hands-on builder - I write the code, not just architecture

Fixed price transparency - no surprise bills

Pragmatic approach - right tool for the job, not over-engineering

Fast iteration - weekly check-ins, continuous stakeholder collaboration

READY TO STOP
DROWNING IN
SPREADSHEETS?

10+ years working with data - from analytics and ML to building production data pipelines across GCP, AWS, and Azure. Now helping SMBs get enterprise-quality data infrastructure without enterprise budgets.

Book a 15-minute call - no commitment. Tell me about your data sources and analytics needs, and I'll tell you if a warehouse makes sense and what it might cost.

Or message me on LinkedIn
linkedin.com/in/mateuszwycislik

PLATFORMS & TOOLS

Cloud-agnostic. I work with your existing infrastructure - or recommend the best fit.

CLOUD PLATFORMS

GCP (BigQuery)
AWS (Redshift, Glue)
Azure (Synapse)
Snowflake

ETL/ELT TOOLS

dbt (transformations)
Airbyte (open-source)
Fivetran (managed)
Custom Python

ORCHESTRATION

Airflow
Cloud Functions
Lambda
Step Functions

DATA SOURCES

SaaS APIs
Databases (SQL)
Spreadsheets
Custom connectors

VISUALIZATION

Metabase
Looker Studio
Python (matplotlib)
SQL queries